| --- |
| license: apache-2.0 |
| base_model: Cloudflare/clef |
| pipeline_tag: text-generation |
| library_name: transformers |
| tags: |
| - bf16 |
| - clef |
| - full-precision |
| - transformers |
| - vllm |
| - xinference |
| --- |
| |
| # clef-bf16 (bf16) |
|
|
| Full-precision (bf16) PyTorch port of [Cloudflare/clef](https://huggingface.co/Cloudflare/clef), |
| for vLLM / TGI / Xinference / transformers users who don't want the GGUF quant. |
|
|
| - Format: `pytorch_model.bin` (bf16). safetensors conversion in progress. |
| - Architecture: identical to the original — drop-in for `AutoModelForCausalLM.from_pretrained("rty813/clef-bf16")`. |
| - Also loads in vLLM (`vllm serve rty813/clef-bf16`) and Xinference (search "clef"). |
|
|
| Original model card: |
|
|
| --- |
| license: apache-2.0 |
| library_name: transformers |
| pipeline_tag: image-text-to-text |
| base_model: Qwen/Qwen3.8-27B |
| base_model_relation: finetune |
| tags: |
| - clef |
| - cloudflare |
| - systemone |
| - decision-model |
| - qwen3.8 |
| - post-train |
| - image-text-to-typed-output |
| - multimodal |
| - structured-output |
| - classification |
| - custom-code |
| --- |
| |
| # Clef |
| |
| - **Announcement:** [Clef decision models on the Cloudflare blog](https://blog.cloudflare.com/clef-decision-models) |
| - **Decision Index leaderboard:** [clef-evals.workers-ai-mle.workers.dev](https://clef-evals.workers-ai-mle.workers.dev) |
| |
| Clef is a 27B multimodal model that turns a state and a schema of typed |
| questions into decisions. It reads the state as text, JSON, images, or video, and returns a |
| probability for every allowed option of every question in a single forward pass. There is no |
| free-form text generation and no output parsing. |
| |
| The Clef API is fully compatible with Jev and SystemOne. |
| |
| Clef is post-trained from [Qwen/Qwen3.8-27B](https://huggingface.co/Qwen/Qwen3.8-27B). See |
| [Clef-Flash](https://huggingface.co/Cloudflare/clef-flash) for the |
| smaller, faster variant. |
| |
| ## Model |
| |
| - **Backbone:** Qwen/Qwen3.8-27B with its vision encoder, stored as standard sharded safetensors. |
| - **Joint schema head:** a small transformer head that reads the backbone's final hidden states, |
| routes evidence from the state to each question, and scores all options of all questions jointly. |
| - **Output:** one logit per allowed option for each question. Apply a softmax per |
| |
